Revolutionary AI Video Compression Technology from Hikvision Enhances Efficiency by Up to 50%

Hikvision, a leading provider in the field of video surveillance solutions, has officially launched its groundbreaking technology known as Guanlan Encoding, which harnesses the power of artificial intelligence to optimize video compression. This pioneering approach enables video storage space savings of 30% to 50%, a substantial improvement that addresses one of the most pressing challenges in video surveillance: the high costs associated with storage space. With increasing demands for higher resolutions, more channels, and prolonged retention periods for footage, storage space has emerged as a dominant factor affecting overall video monitoring costs.

What is Guanlan Encoding?


Guanlan Encoding is grounded in the internationally recognized H.265 standard and is powered by the Hikvision Guanlan Large-Scale AI Model. This unique technology transitions from traditional video analytics to advanced encoding techniques. By intelligently identifying critical elements in a scene, such as individuals and vehicles, the codec preserves their clarity while applying significant data compression to less critical background details. This targeted approach means that operators no longer have to compromise between high-quality imagery and efficient storage use.

As Jason Yang, Vice President at the Hikvision International Business Center, explained, "Storage efficiency has always come at the cost of quality—until now. Guanlan Encoding first analyzes the image and then decides what should remain crystal clear."

Dual Modes of Operation


Guanlan Encoding incorporates two complementary modes: dynamic detection and static optimization. The dynamic mode adjusts the bitrate allocation in real-time to capture details during complex and fast-moving scenes, while static optimization applies ultra-high compression to recordings with minimal or no motion, sometimes reducing frame sizes to just a few dozen bytes. This dual functionality allows for a smart and adaptable approach to video encoding, aligning with user needs efficiently.

Efficiency Tests and Benchmarks


Internal benchmarking tests comparing the traditional H.265 codec with Guanlan Encoding have demonstrated consistent data rate savings:
  • - Cafeteria (24 hours): 49% savings with variable movement throughout the day.
  • - Office complex entrance (30 minutes): 42% savings during peak traffic.
  • - Corporate lobby (2 hours): 38% savings in typical indoor settings.
  • - Busy shopping street (1 hour): 18% savings in scenes with high complexity and activity.

These remarkable efficiencies illustrate the power of Guanlan Encoding in optimizing storage solutions for various operational contexts.

Zero Migration Hassles


Cohering to the H.265 standard means that Guanlan Encoding seamlessly integrates with existing H.265 decoders from both Hikvision and third-party devices. The coding format, frame rate, and resolution remain unchanged, ensuring a hassle-free deployment in both new and existing projects.

Wide Product Compatibility


The Guanlan Encoding technology is compatible with a range of Hikvision products including DeepinView(X) series network and PTZ cameras, Ultra series cameras, ColorVu 3.0 cameras, and various recorders. As a versatile solution, it caters to an assortment of environments from corporate campuses and retail networks to public facilities and critical infrastructure.

A Future-Oriented Approach


The integration of AI into the compression codec represents a significant advancement, marking a shift from pixel-based to meaning-based compression. This ensures that every byte of footage is captured, compressed, and stored with thoughtfulness and precision.

For more insights into Guanlan Encoding, individuals are encouraged to visit the official website or reach out to their local Hikvision representative for an in-depth live demonstration. By adopting this innovative technology, organizations can look forward to a future of smart surveillance that prioritizes both quality and efficiency.

Topics Consumer Technology)

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